Blend360
healthcare
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Blend360. Skills: Google Cloud Platform, Data Engineering, Data Pipelines, BigQuery. Design data pipelines. Develop data pipelines”
What You'll Achieve.
drive smarter business decisions; deliver scalable data solutions; support enterprise analytics; support operational reporting; support data-driven decision-making; drive measurable business impact
Industry & Context.
solving complex data challenges
What They're Looking For.
Must Have
Google Cloud Platform (GCP), BigQuery, Cloud Storage, Cloud Composer, Dataflow, SQL, Python, ELT/ETL pipeline design, orchestration, optimization, CI/CD pipelines, infrastructure automation, cloud engineering best practices, data quality, observability, operational reliability principles, 5+ years of experience in data engineering, cloud data platform development, enterprise-scale cloud data solutions within GCP environments, large-scale data modernization, analytics transformation initiatives
Nice to Have
healthcare data ecosystems, regulated enterprise environments, healthcare analytics platforms, payer/provider data models, healthcare interoperability standards, enterprise BI, analytics initiatives, dbt, Looker, semantic modeling frameworks, Consulting, client-facing delivery experience
What You'll Do.
Design data pipelines
Develop data pipelines
Optimize data pipelines
Build ingestion frameworks
Automate ingestion frameworks
Develop semantic data layers
Expand semantic data layers
Design ELT/ETL workflows
Implement ELT/ETL workflows
Automate orchestration
Automate operational processes
Optimize BigQuery performance
Implement engineering best practices
Contribute to data governance
Contribute to metadata management
Contribute to data quality initiatives
Mentor junior engineers
How You'll Work.
Team & Collaboration
Partner with architects; Partner with analytics teams; Partner with business stakeholders; Contribute to a collaborative engineering culture
Communication Scope
effective communication; stakeholder collaboration
Full Job Description
At [Blend360](https://www.blend360.com/?utm_source=chatgpt.com), we help organizations transform complex data into actionable insights through modern cloud platforms, advanced analytics, and AI-driven solutions. We partner with leading enterprises across healthcare, telecommunications, financial services, and retail to build scalable, high-impact data ecosystems that drive smarter business decisions. We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a key part in designing and delivering scalable, reliable, and business-ready data solutions that support enterprise analytics, operational reporting, and data-driven decision-making. The ideal candidate brings strong hands-on engineering expertise, deep experience with cloud-native data platforms, and a passion for building modern, scalable data architectures in complex enterprise healthcare environments. What You’ll Do * Design, develop, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting initiatives * Build and automate ingestion frameworks for structured and semi-structured healthcare data sources * Develop and expand semantic data layers in GCP and BigQuery to support trusted, consistent analytics consumption across business teams * Design and implement scalable ELT/ETL workflows using modern cloud-native architecture patterns * Automate orchestration, monitoring, and operational processes across the data platform * Partner with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions * Optimize BigQuery performance, partitioning, and query efficiency to improve scalability and cost management * Implement engineering best practices for testing, observability, reliability, deployment automation, and operational support * Cont
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